Orthogonal Genetic Algorithm for Planar Thinned Array Designs

الملخص EN

An orthogonal genetic algorithm (OGA) is applied to optimize the planar thinned array with a minimum peak sidelobe level.

The method is a genetic algorithm based on orthogonal design.

A crossover operator formed by the orthogonal array and the factor analysis is employed to enhance the genetic algorithm for optimization.

In order to evaluate the performance of the OGA, 20×10-element planar thinned arrays have been designed to minimize peak sidelobe level.

The optimization results by the OGA are better than the previously published results.